Senior Machine Learning Engineer, AI Platform

Role Overview

We are seeking an experienced Senior Machine Learning Engineer to join the AI Platform team at Smartly. This team focuses on empowering marketers to optimize their advertising content—encompassing images, videos, text, and campaign data—through innovative AI-driven solutions. You will spearhead impactful projects that enhance advertising experiences for customers, working with a diverse range of data and collaborating with cross-functional teams.

Key Responsibilities

• Develop machine learning software systems that enable users to craft effective advertising campaigns and experiences.
• Work extensively with varied datasets including visual, audio, textual, and structured campaign performance data.
• Enhance and contribute to Smartly’s MLOps and data infrastructure, collaborating closely with senior engineers, data scientists, and software developers to productionize AI applications reliably.
• Participate as a pivotal team member, engaging in planning, retrospectives, and continuous team improvements to deliver high-impact products.
• Influence the day-to-day operations of Smartly’s advertiser clients through advanced ML solutions.
• Collaborate with stakeholders across product, engineering, and infrastructure to align business needs with technical solutions.
• Apply and grow your communication and collaboration abilities by sharing knowledge, facilitating meetings, and pair programming.
• Stay abreast of cutting-edge advancements in machine learning domains such as generative AI, computer vision, natural language processing, and explainability.

Qualifications and Experience

• Minimum of 5 years creating and deploying high-quality production software.
• At least 2 years’ experience building and delivering ML-powered software services.
• 2+ years working with cloud providers like AWS or GCP.
• Proficiency in Python is essential; experience with C++ or Java is advantageous.
• Practical expertise with modern ML frameworks such as PyTorch and TensorFlow.
• Understanding of MLOps concepts and tools including MLflow and Kubeflow.
• Skilled in feature engineering, model assessment, diagnostics, and monitoring.
• Strong grounding in mathematics—linear algebra, statistics, and calculus.
• Experience developing scalable data pipelines suited for ML workflows.
• Capability to build and maintain services under service-level agreements (SLAs).
• An analytical mindset combined with a problem-solving approach.
• Commitment to quickly addressing customer challenges with mindful architectural choices.
• Adaptability when confronting novel or ambiguous problems.
• Excellent verbal and written English communication skills.
• Master’s degree in a relevant field preferred.
• Willingness and ability to work onsite at the Berlin office at least 3 days per week as part of a hybrid model.

What Smartly Offers

• A diverse and inclusive global workplace with over 750 employees from more than 60 countries.
• Opportunity to contribute to a globally impactful advertising technology company.
• Emphasis on employee wellbeing including healthcare, mental health resources, and work-life balance with paid holidays and family leave.
• Comprehensive compensation package featuring equity options, performance rewards, and career development paths.
• Flexible hybrid work environment allowing a blend of office presence and remote work, with up to 30 days remote work abroad annually.

About Smartly

Smartly is a pioneering AI-driven advertising technology firm revolutionizing brand advertising by synergizing media, creative, and intelligence in a unified platform. Handling over 800 billion impressions and producing more than 300 billion creatives yearly, it serves 700+ brands globally with $6 billion in ad spend across major platforms such as Facebook, Google, Instagram, Pinterest, Snap, and TikTok. Recognized as a leader by industry analysts, Smartly fosters a multinational, diverse team dedicated to creating an inclusive environment that values respect and diversity.

Additional Information

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